Automated Deployment Engine (Conceptual)
This page describes a conceptual feature for future development. The "Automated Deployment Engine" is not yet implemented in SIEMplyfier. The mechanisms below outline how such a system could work.
Splunk
QRadar
Azure Sentinel
Elastic SIEMThe "Connect" button (conceptual) would initiate the configuration and orchestration for these integrations.
Most modern SIEM platforms offer APIs (Application Programming Interfaces). These APIs allow external systems to interact with the SIEM to perform actions like creating or modifying correlation rules, uploading lookup lists, managing alerts, etc.
The “Automated Deployment Engine” of SIEMplyfier would need specific connectors or adapters for each SIEM. Each connector would know how to “speak” the language of the respective SIEM API (e.g., using RESTful APIs, sending queries in SPL for Splunk, KQL for Azure Sentinel, etc.).
For SIEMplyfier to interact with a SIEM, it would require secure credentials (like API tokens, service keys, or user credentials with appropriate permissions).
Pressing “Connect” on this page would (conceptually) start a flow where the user inputs and securely saves these credentials and API endpoint details for their SIEM. This data would be stored securely in SIEMplyfier's backend.
Each SIEM has its own query language and rule format. The “Use Case Builder” in SIEMplyfier could generate an abstract representation or pseudocode of the use case.
The “Automated Deployment Engine” would then translate this abstract representation into the specific format required by the target SIEM before sending it via the API. For instance, translating generic detection logic to an SPL query for Splunk or a KQL analytic rule for Azure Sentinel.
All communication and translation logic would be primarily handled in SIEMplyfier's backend. The frontend UI acts as an interface for users to initiate and monitor these processes.
The backend would communicate with SIEM APIs, manage deployment queues, log results, and handle errors.
Depending on the SIEM, deployment might involve sending configuration files (YAML, JSON), executing scripts via an API, or creating/updating specific objects within the SIEM (like correlation rules, dashboards, etc.).
In all scenarios, SIEMplyfier acts as a client to the SIEMs' APIs, authenticating securely and sending use case information translated to the correct format.
The integration relies on SIEMplyfier centrally managing the connection, authentication, translation, and deployment of use cases to various SIEMs. The "Connect" button on the UI would be the starting point for configuring and orchestrating these integrations.